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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Debiased Machine Learning for Conformal Prediction of Counterfactual Outcomes Under Runtime Confounding CLeaR 2026 Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance AAAI 2026 Decentralized Online Convex Optimization with Unknown Feedback Delays AAAI 2026 Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents ACL 2026 Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026 Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis CVPR 2026 Deconvolution in unlinked linear models JMLR 2026 DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF AAAI 2026 Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models JMLR 2026 DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting AAAI 2026 Deeply Seeking Boundary for Lunar Regolith Segmentation AAAI 2026 Deep Nonparametric Conditional Independence Tests for Images JMLR 2026 Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026 DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs AAAI 2026 Deep Q-Learning on Hölder Spaces COLT 2026 DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design AAAI 2026 Defensive Generation COLT 2026 Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization AAAI 2026 DegVoC: Revisiting Neural Vocoder from a Degradation Perspective AAAI 2026 Delayed Feedback Modeling with Influence Functions AAAI 2026 Demographic Parity in Regression and Classification Within the Unawareness Framework JMLR 2026 Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method AAAI 2026 DensiCrafter: Physically-Constrained Generation and Fabrication of Self-Supporting Hollow Structures AAAI 2026 Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges AAAI 2026 DEPO: Dual-Efficiency Preference Optimization for LLM Agents AAAI 2026